10229987 8323 Heinrich Peters 9985 Supervised Classification 12736 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8155009 l2_regularization 10.0 12677 learning_rate 0.01 12677 loss "auto" 12677 max_bins 8 12677 max_depth 17 12677 max_iter 150 12677 max_leaf_nodes 64 12677 min_samples_leaf 16 12677 n_iter_no_change null 12677 random_state 36619 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.1 12677 verbose 0 12677 memory null 12736 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}] 12736 verbose false 12736 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 openml-python Sklearn_0.21.2. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 21381420 description https://api.openml.org/data/download/21381420/description.xml -1 21381421 predictions https://api.openml.org/data/download/21381421/predictions.arff area_under_roc_curve 0.8413645958057123 [0.793607,0.816059,0.833598,0.797791,0.81773,0.885119] average_cost 0 f_measure 0.5344818867549268 [0.463288,0.256798,0.407782,0.336391,0.363089,0.744516] kappa 0.38304769703455765 kb_relative_information_score 0.3022755551064373 mean_absolute_error 0.19970387081056995 mean_prior_absolute_error 0.2507645736611627 number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5426515314381388 [0.478474,0.482955,0.487896,0.453297,0.485255,0.633022] predictive_accuracy 0.5704478587773782 prior_entropy 2.3000072984859514 recall 0.5704478587773782 [0.449036,0.174897,0.350267,0.267423,0.290064,0.903681] relative_absolute_error 0.7963799188015017 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3069072520491579 root_relative_squared_error 0.8667861769124748 total_cost 0 area_under_roc_curve 0.8545527062330538 [0.819295,0.803912,0.844343,0.800293,0.845014,0.897499] area_under_roc_curve 0.8444535938910925 [0.798594,0.80936,0.867076,0.820821,0.798884,0.881013] area_under_roc_curve 0.8355200149212555 [0.769483,0.827582,0.821775,0.780425,0.808266,0.889185] area_under_roc_curve 0.8543725382736927 [0.800782,0.825733,0.858014,0.828915,0.825396,0.894947] area_under_roc_curve 0.8256576426292324 [0.750351,0.801356,0.809373,0.797713,0.862199,0.865217] area_under_roc_curve 0.8373972794935657 [0.792821,0.781528,0.831235,0.801144,0.799619,0.887] area_under_roc_curve 0.8333065977834536 [0.814334,0.795973,0.818374,0.794135,0.806144,0.869111] area_under_roc_curve 0.857839087007695 [0.785188,0.841429,0.874997,0.814451,0.863754,0.895793] area_under_roc_curve 0.8354771432774235 [0.78646,0.848709,0.808706,0.782086,0.786812,0.886218] area_under_roc_curve 0.8396552187811384 [0.823623,0.82584,0.813315,0.762697,0.791058,0.886983] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.5382054580406698 [0.488038,0.16129,0.373984,0.333333,0.368932,0.768982] f_measure 0.5531249951088303 [0.474419,0.338983,0.425197,0.383838,0.389381,0.746318] f_measure 0.5202260900021209 [0.443396,0.171429,0.432,0.295455,0.342342,0.744337] f_measure 0.5300729398623512 [0.451923,0.298507,0.450704,0.247191,0.347826,0.744409] f_measure 0.5193902485581372 [0.433962,0.238806,0.366667,0.367347,0.36,0.730463] f_measure 0.5602023491305816 [0.52093,0.3125,0.466165,0.346154,0.355556,0.754045] f_measure 0.5300969410065515 [0.493274,0.27027,0.352,0.323232,0.351648,0.74183] f_measure 0.5468528644309731 [0.413146,0.235294,0.461538,0.38,0.431373,0.756137] f_measure 0.5109182507692783 [0.44335,0.333333,0.362205,0.294737,0.31068,0.716561] f_measure 0.5327948725128268 [0.467662,0.215385,0.37594,0.376238,0.369565,0.742857] kappa 0.39514108624533617 kappa 0.4051185874711251 kappa 0.3677008556166103 kappa 0.3802400397370883 kappa 0.3611543380121104 kappa 0.4184827586206897 kappa 0.37869443087445037 kappa 0.39829200535034476 kappa 0.34517900047589023 kappa 0.37976753196435487 kb_relative_information_score 0.3093964009357225 kb_relative_information_score 0.30722068407765335 kb_relative_information_score 0.2975988602798335 kb_relative_information_score 0.3045943886945351 kb_relative_information_score 0.30398098336337537 kb_relative_information_score 0.30583392157265793 kb_relative_information_score 0.2948244665781067 kb_relative_information_score 0.31647471077572065 kb_relative_information_score 0.2875641161016571 kb_relative_information_score 0.29521556439985025 mean_absolute_error 0.1977867168583283 mean_absolute_error 0.19916778570691335 mean_absolute_error 0.1990635776181344 mean_absolute_error 0.1993241947538395 mean_absolute_error 0.20083649223344188 mean_absolute_error 0.19943214030251025 mean_absolute_error 0.20090726077522467 mean_absolute_error 0.19844631255134484 mean_absolute_error 0.2012589559494623 mean_absolute_error 0.20081963549018642 mean_prior_absolute_error 0.25067495791407446 mean_prior_absolute_error 0.25083558171073006 mean_prior_absolute_error 0.25088921191526126 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25067558048692967 mean_prior_absolute_error 0.25058368192114683 mean_prior_absolute_error 0.25059472840439195 number_of_instances 612 [109,48,74,62,63,256] number_of_instances 612 [109,48,75,62,63,255] number_of_instances 612 [108,49,75,62,63,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,61,62,256] number_of_instances 611 [109,48,75,61,62,256] number_of_instances 611 [109,48,74,61,63,256] precision 0.5383973049234865 [0.51,0.357143,0.469388,0.391304,0.475,0.655647] precision 0.5847949544681328 [0.481132,0.909091,0.519231,0.513514,0.44,0.640449] precision 0.5242082356888507 [0.451923,0.285714,0.54,0.5,0.395833,0.633609] precision 0.5445502718896202 [0.474747,0.555556,0.477612,0.407407,0.533333,0.628032] precision 0.530176933985579 [0.446602,0.444444,0.488889,0.5,0.473684,0.615591] precision 0.5817246162974002 [0.528302,0.666667,0.534483,0.428571,0.571429,0.641873] precision 0.5365168036007152 [0.482456,0.4,0.44,0.432432,0.551724,0.635854] precision 0.5523762824835515 [0.423077,0.421053,0.545455,0.487179,0.55,0.650704] precision 0.521830998375945 [0.478723,0.611111,0.442308,0.411765,0.390244,0.604839] precision 0.5448160035545817 [0.51087,0.411765,0.423729,0.475,0.586207,0.625668] predictive_accuracy 0.5784313725490197 predictive_accuracy 0.5833333333333334 predictive_accuracy 0.5588235294117647 predictive_accuracy 0.5702614379084967 predictive_accuracy 0.5571895424836601 predictive_accuracy 0.5947712418300654 predictive_accuracy 0.565359477124183 predictive_accuracy 0.5784313725490197 predictive_accuracy 0.546644844517185 predictive_accuracy 0.5711947626841244 prior_entropy 2.2982053906988225 prior_entropy 2.3010980143383097 prior_entropy 2.3029972536480843 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.2983403180467192 prior_entropy 2.2961240491639523 prior_entropy 2.2965513970017746 recall 0.5784313725490197 [0.46789,0.104167,0.310811,0.290323,0.301587,0.929688] recall 0.5833333333333334 [0.46789,0.208333,0.36,0.306452,0.349206,0.894118] recall 0.5588235294117647 [0.435185,0.122449,0.36,0.209677,0.301587,0.901961] recall 0.5702614379084967 [0.431193,0.204082,0.426667,0.177419,0.258065,0.913725] recall 0.5571895424836601 [0.422018,0.163265,0.293333,0.290323,0.290323,0.898039] recall 0.5947712418300654 [0.513761,0.204082,0.413333,0.290323,0.258065,0.913725] recall 0.565359477124183 [0.504587,0.204082,0.293333,0.258065,0.258065,0.890196] recall 0.5784313725490197 [0.40367,0.163265,0.4,0.311475,0.354839,0.902344] recall 0.546644844517185 [0.412844,0.229167,0.306667,0.229508,0.258065,0.878906] recall 0.5711947626841244 [0.431193,0.145833,0.337838,0.311475,0.269841,0.914062] relative_absolute_error 0.7890166552900149 relative_absolute_error 0.7940172775670985 relative_absolute_error 0.793432193032552 relative_absolute_error 0.7946019491516205 relative_absolute_error 0.8006306930603728 relative_absolute_error 0.795032271940492 relative_absolute_error 0.8009128104486238 relative_absolute_error 0.7916459679314153 relative_absolute_error 0.8031606623642559 relative_absolute_error 0.8013721468478697 root_mean_prior_squared_error 0.35394835494159665 root_mean_prior_squared_error 0.3541751851309153 root_mean_prior_squared_error 0.3542508884492025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3539492344090008 root_mean_prior_squared_error 0.3538193917423618 root_mean_prior_squared_error 0.35383500173976573 root_mean_squared_error 0.30486750895546044 root_mean_squared_error 0.30584266026820367 root_mean_squared_error 0.3079754373740529 root_mean_squared_error 0.30541632427531495 root_mean_squared_error 0.30952139539032436 root_mean_squared_error 0.30643333056167776 root_mean_squared_error 0.30918469374027385 root_mean_squared_error 0.30255474563079543 root_mean_squared_error 0.30928237492195176 root_mean_squared_error 0.3079238178030163 root_relative_squared_error 0.8613333123296059 root_relative_squared_error 0.8635349767803572 root_relative_squared_error 0.869370966780835 root_relative_squared_error 0.8622890495699588 root_relative_squared_error 0.8738789928337237 root_relative_squared_error 0.8651603871978844 root_relative_squared_error 0.8729283751923792 root_relative_squared_error 0.8547970053840624 root_relative_squared_error 0.8741249974991753 root_relative_squared_error 0.8702469125128678 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 21779.99219999765 usercpu_time_millis 21701.815923996037 usercpu_time_millis 21731.579604005674 usercpu_time_millis 22207.10395599599 usercpu_time_millis 19639.989375995356 usercpu_time_millis 19101.310695012216 usercpu_time_millis 19240.79089301813 usercpu_time_millis 19889.3047629972 usercpu_time_millis 19580.81703998323 usercpu_time_millis 20195.804064002004 usercpu_time_millis_testing 92.66535200004 usercpu_time_millis_testing 114.46632399747614 usercpu_time_millis_testing 94.05629700631835 usercpu_time_millis_testing 74.62828799907584 usercpu_time_millis_testing 81.48193299712148 usercpu_time_millis_testing 81.94834600726608 usercpu_time_millis_testing 78.93413300917018 usercpu_time_millis_testing 82.4824110022746 usercpu_time_millis_testing 80.22761199390516 usercpu_time_millis_testing 96.69689199654385 usercpu_time_millis_training 21687.32684799761 usercpu_time_millis_training 21587.34959999856 usercpu_time_millis_training 21637.523306999356 usercpu_time_millis_training 22132.475667996914 usercpu_time_millis_training 19558.507442998234 usercpu_time_millis_training 19019.36234900495 usercpu_time_millis_training 19161.85676000896 usercpu_time_millis_training 19806.822351994924 usercpu_time_millis_training 19500.589427989325 usercpu_time_millis_training 20099.10717200546 wall_clock_time_millis 21780.09557723999 wall_clock_time_millis 21701.85685157776 wall_clock_time_millis 21731.632471084595 wall_clock_time_millis 22207.141160964966 wall_clock_time_millis 19673.524379730225 wall_clock_time_millis 19103.200435638428 wall_clock_time_millis 19240.8390045166 wall_clock_time_millis 19889.343976974487 wall_clock_time_millis 19580.865383148193 wall_clock_time_millis 20195.919036865234 wall_clock_time_millis_testing 92.67902374267578 wall_clock_time_millis_testing 114.47668075561523 wall_clock_time_millis_testing 94.0694808959961 wall_clock_time_millis_testing 74.63669776916504 wall_clock_time_millis_testing 81.65884017944336 wall_clock_time_millis_testing 81.96163177490234 wall_clock_time_millis_testing 78.94635200500488 wall_clock_time_millis_testing 82.49306678771973 wall_clock_time_millis_testing 80.23405075073242 wall_clock_time_millis_testing 96.7111587524414 wall_clock_time_millis_training 21687.416553497314 wall_clock_time_millis_training 21587.380170822144 wall_clock_time_millis_training 21637.5629901886 wall_clock_time_millis_training 22132.5044631958 wall_clock_time_millis_training 19591.86553955078 wall_clock_time_millis_training 19021.238803863525 wall_clock_time_millis_training 19161.892652511597 wall_clock_time_millis_training 19806.850910186768 wall_clock_time_millis_training 19500.63133239746 wall_clock_time_millis_training 20099.207878112793